Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …

Provenance, a form of structured metadata designed to record the origin or source of
information, can be instrumental in deciding whether information is to be trusted, how it can …

Until not long ago, manually capturing and storing provenance from scientific experiments
were constant concerns for scientists. With the advent of computational experiments …

Workflow technology continues to play an important role as a means for specifying and
enacting computational experiments in modern science. Reusing and re-purposing …

Workflows provide a popular means for preserving scientific methods by explicitly encoding
their process. However, some of them are subject to a decay in their ability to be re-executed …

Background Computational bioinformatics workflows are extensively used to analyse
genomics data, with different approaches available to support implementation and execution …

Background Provenance is a critical ingredient for establishing trust of published scientific
content. This is true whether we are considering a data set, a computational workflow, a peer …

Publication and archival of scientific results is still commonly considered the responsability
of classical publishing companies. Classical forms of publishing, however, which center …

CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life
sciences, has played a crucial role in advancing data-driven research since the 2010s. As …

Science is conducted collaboratively, often requiring knowledge sharing about
computational experiments. When experiments include only datasets, they can be shared …